Alternance - Data Analytics & data Quality F​/H

Join Chez STMicroelectronics

Chez STMicroelectronics, we are convinced that technology is a driver of innovation and has a positive impact for companies, people, and society. As a global player in semiconductors, our cutting-edge technologies and electronic components are invisible but at the heart of today's world. Joining ST means integrating into an international company with more than 115 nationalities, present in 40 countries, and bringing together more than 50,000 passionate and committed talents, all united by the desire to create and invent the technology of tomorrow.

Innovation requires much more than technical skills: it requires inspiring people who know how to collaborate with respect and enthusiasm. Employees driven by passion, ready to challenge the status quo, to advance innovation, and to reveal their full potential. Come live this adventure with us and help build a smarter and more sustainable future, combining responsibility and innovation. Our technology starts with you.

You will join the Semantic Layer team, attached to the MDS (Manufacturing Data Science) organization, which is responsible for the integration and provision of data, as well as the data support of Data Analytics & AI projects in the cloud, dedicated to manufacturing. We design and deploy solutions for manufacturing sites to facilitate decision-making and accelerate the development of use cases in advanced data analysis and artificial intelligence.

In this context, we are looking for an intern Data Governance / Data Analyst (2 to 3 years), responsible for facilitating data access, contributing to data governance and mapping, and supporting business and data teams in the analysis and value creation of their data.

You will be in charge of:
• Identifying and documenting existing data sources (business systems, databases, files, data lake, etc.).
• Contributing to data mapping and data flows (who produces what, where data is stored, who consumes what).
• Working in collaboration with business and data teams to understand their needs in reporting, analysis, and data access.
• Supporting the provision of data (data modeling) in the development of solutions: dashboards, applications, etc.
• Analyzing data quality (completeness, consistency, anomalies) and proposing improvement actions.
• Designing monitoring tools on data quality via dashboards/agents.
• Contributing to the implementation of rules and best practices in Data Governance (nomenclatures, definitions of indicators, update procedures, access rights). Setting up
-dashboard/agents- and alert procedure
• Participating in documentation (glossaries, user guides, data sheets) and in the sensitization of users to good data practices.
• Conducting exploratory analyses to meet business needs.

You are preparing or about to join an engineering school or a master's degree with a specialization in Data Science / Business Intelligence / Information Systems / Statistics, and you are looking for an internship of two or three years. You want to join a team at the heart of the Data & AI challenges of a company.

• SQL and data analysis (manipulation).
• Knowledge of descriptive statistics and definition of indicators (KPI).
• Technical English required (reading documentation, participation in exchanges with international counterparts).
• Knowledge of Big Data / Cloud / Databricks: a plus.
• Python (pandas): a plus.
• Previous experience with a data visualization tool (e.g., Spotfire, PowerBI, Tableau…): a plus.

In conclusion, this position requires analytical skills, a good ability to structure information, and a marked interest in data quality and governance. Knowledge in project management, great rigor in documentation, a good team spirit, and good communication skills with business users will be additional assets for this position.

ST is proud to be certified among the 17 global "Global Top Employers 2025" and the first and only semiconductor company to receive this distinction. ST was distinguished in this ranking thanks to its continuous improvement approach, notably standing out for its commitment to ethics and integrity, sense and values, organization and change management, as well as its commercial strategy and performance.

In France, ST has also obtained the Happy Trainee 2025 label. We cultivate an inclusive and diverse work environment, where discrimination has no place. Our ambition is to recruit and retain talents reflecting the richness of the societies in which we operate. We are committed to equity in career development, professional opportunities, and compensation. At ST, we encourage candidates who do not necessarily meet all the criteria to apply, because we believe in the richness of varied backgrounds and offer real opportunities for learning and growth.

Diversity, equity, and inclusion are fundamental values that shape our company culture. To discover all our opportunities, visit